In this election year of unprecedented acrimony, one of the most polarizing issues of all is rooted in what's typically considered a national strength: diversity. But as it turns out, not all Americans value the country's multicultural ethos, according to a psychologist's study.

Computer scientists were able to shed light on how Trump won the presidential election by using data science to track the millions of Twitter followers who liked or 'unliked' the candidates throughout the campaign.

Americans are split in their support of recent science marches and whether these events will make a difference, according to a new Pew Research Center survey. Some 44% of US adults think the protests, marches, and demonstrations will boost public support for science, while an equal share (44%) believe the protests will make no difference and 7% believe the demonstrations will actually hurt the cause.

Labels matter when it comes to acceptance of climate science, suggests new research. For example, explain authors of a new report, the US public doubts the existence of 'global warming' more than it doubts 'climate change.'

Computer scientists have developed what they call “sentiment analysis” software that can automatically determine how someone feels based on what they write or say. To test out the accuracy of this software’s machine-learning model, the team used it to analyze the individual sentiments of more than 1.6 million (and counting) geo-tagged tweets about the U.S. presidential election over the last five months.

In a randomized controlled trial, researchers studied low-income adults newly covered by a primary care program to determine if a cash incentive could encourage them to make an initial visit to a primary care provider. Among four total participant groups, three were given a baseline survey by telephone and then either $50, $25 or $0 to visit their provider within six months. A control group received no incentive or contact from the researchers.